Measuring the cosmological parameters spatial distribution

In this work we present the first measurement of the spatial distribution of the cosmological parameters performed with a joined analysis of the latest Cosmic Microwave Background (CMB) data from Planck and the supernova data of JLA. In order to treat all the data in an homogeneous way and to reduce the cpu-time involved in the parameters estimation, we developed a machine learning algorithm that was trained with simulated data and tested comparing with the results of the standard MCMC estimation.